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# Import Depend... | Cryptocurrency Clusters.ipynb |
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# + [markdown] id="U2dD1VOYIKLy" colab_type="text"
# # Denoising mel-spectrog... | demo.ipynb |
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# name: python3-azur... | 01d - Face Analysis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | colab_notebooks/Part3_NLP_Sentiment_Analysis_for_Stocks.ipynb |
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# + id="2HLGI04NAnoD" colab={"base_uri": "https://localhost:8080/"} execution... | NLP_1/NLP3-4.ipynb |
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# I love reading The Onion. The brilliant snark of the... | notebooks/Untitled.ipynb |
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# name: python395jvsc74a57bd031f2aee4e71d21fbe5cf8b01ff0e069b9275f... | assignment_10/part_b/experiments/DataLoader.ipynb |
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# # Molecular Determinants
# Instead of focusing on th... | code/13_Molecular_Determinants.ipynb |
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# > 1. **Necesity**: Build Model
# > 2. **... | II Machine Learning & Deep Learning/#06. Decision Tree. A Supervised Classification Model/06session.ipynb |
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"""
The MIT License (MIT)
Copyright (c) 2021 NVIDIA
Pe... | tf_framework/c5e2_mnist_learning_conf5.ipynb |
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// # Extending ImageJ: Data I/O
// This... | notebooks/2-Extending-ImageJ/2-Input-Output.ipynb |
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# -*- coding: utf-8 -*-
"""
@author: TomClifford... | processing.ipynb |
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import mc_sim_usman as mcn
import numpy as... | homework/day_5/mc_package_usman/Testing_functionality_and_time_avg_rdf_usman.ipynb |
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# # 2. Améliorations - Le système solaire n'est pas p... | Solar System in 3D.ipynb |
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import JupyterNotebooksLib as slicernb
thi... | UltrasoundSegmentation/SpineSegmentationVisualTestFunctions.ipynb |
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# ## Matplotlib Assignment
# import panda... | w3/w3-day_1/matplotlib_exercise.ipynb |
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# ### Custom Image Data
# +
import numpy as np
import... | DataLoader_ImageFolder/.ipynb_checkpoints/custom_image_data_leaf_classification-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# # A deep dive into DataF... | indexing_part1_introduction.ipynb |
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import pandas as pd
import numpy as np
... | code/topic-wise analysis/topic-modelling.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Profanity_Filter_and_Scunthorpe_Problem.ipynb |
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# Load dependencies
import pandas as pd
import numpy a... | fungi/fungi_fraction/fungi_fraction.ipynb |
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# Third-party
from astropy.io import fits
... | notebooks/Oorts-constants.ipynb |
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from utils.all import *
import tensorflow as tf
from t... | 04.2_routers.ipynb |
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# # Language basics
# This chapter will start with a ... | notebooks/05-Language-Basics.ipynb |
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# # Anatomía de un Gráfico
#
# Cada gráfico en `altair... | notebooks/01-anatomia-de-un-grafico.ipynb |
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# 
#
# <center><h2>S... | examples/tutorial/tutorial_notebooks/cluster/exercise_6.ipynb |
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# # Spiral Galaxies
#
# *<NAME>, Nov 2018*
# ## Conte... | gravity/4 - SpiralGalaxies.ipynb |
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# + [markdown] id="w4B3OoY-shn-" pycharm={... | notebooks/03/03.03-Job-Shop-Scheduling.ipynb |
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# # Imports
import os
import pickle
import pan... | notebooks/MLS_split/MLS_split_test_Models.ipynb |
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# + id="zodPJNT3TsLv" colab_type="code" outputId="4094e0d7-b0bf-4f1c-ebce-204... | nlp/Seq2Seq_translation.ipynb |
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# ### This code is used to test how does kpca perform ... | kpca_sample.ipynb |
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# ### Notebook for reading and cheking model TM5_AP3-I... | sorted_out/Mod_TM5_AP3-INSITU.ipynb |
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# # 2-4.2 Intro Python
# ## Working with Files
# 4.1 F... | Python Fundamentals/Module_4_2_Python_Fundamentals.ipynb |
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import pandas as pd
import numpy as np
... | HW02-Data_from_the_Web/collect_and_persist_all_data.ipynb |
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# # Specifying a Custom Anchor Picker
# In this notebo... | Examples/CustomAnchorPicker.ipynb |
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try:
__IPYTHON__
USING_IPYTHON = True
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import pandas as pd
df = pd.read_csv('gapminder.csv')... | C17_Ensemble Learning/C17_Ensemble Learning.ipynb |
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# + [markdown] id="td1va_ndHUED"
# ###Imports
# + id="aBYix7CoHQhc" executio... | cvicenie_8/Keras.ipynb |
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import os
import shutil
import urllib3
import num... | machine_learning/.ipynb_checkpoints/Single_building_model_test-checkpoint.ipynb |
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# # English Wikipedia page views, 2008 - 2017
#
# ##... | ProgrammingStep/hcds-a1-data-curation.ipynb |
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# + [markdown] toc="true"
# # Table of Contents
# <p>... | src/cos.ipynb |
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Jan_file = 'JC-202001-citibike-tr... | Tableau Challenge.ipynb |
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def f1(a,b,h):
part_1 = ((a**3)/(-3) + a + 2/3)
... | CS/CSC413/HW01/Untitled.ipynb |
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# ## Pandas 数据分析连续（第二部分）
#
#
# <font color = red>注意：代码... | porto-seguro-safe-driver-prediction/Phase1/Numpy&Pandas/Pandas/Exercises/Pandas_basis_2.ipynb |
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# # Data types
#
#... | api-book/_build/html/_sources/chapter-3-python/data-types.ipynb |
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# + id="GbVJ2cozoRWW"
import pandas as pd
import numpy as np
import matplotli... | Libertarian_cleaning_github_version.ipynb |
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# # This notebook could be used to download and... | notebooks/Dataset/Prepare_data.ipynb |
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import numpy as np
import matplotlib.pylab as plot
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# + [markdown] origin_pos=0
# # Geometry and Linear Algebraic Operations
# :label:`sec_geometry-linear-algebraic-ops`
#
# In :numref:`sec_line... | d2l/tensorflow/chapter_appendix-mathematics-for-deep-learning/geometry-linear-algebraic-ops.ipynb |
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#... | notebooks/CalAcademy/.ipynb_checkpoints/CalAcademy_explore_data-checkpoint.ipynb |
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from __future__ import absolute_import
from __futu... | (LogCoral)Siamese_Train-TR1+TR2(100images)_Test-TS2.ipynb |
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# + [markdown] id="wW4AtO3MNYH3" colab_type="text"
# # OMX Validator
#
# The ... | omx_validate.ipynb |
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# # TP PLAGIO
# ##... | tp-plagio-nlp.ipynb |
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# + [markdown] id="7EcHxfZ6rB9x"
# # Predição de chuva da Australia
# Link: h... | Projeto_01_Deep_Learning.ipynb |
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# # Clustering Astronomical Sources
#
# The objective ... | Sessions/Session07/Day2/Clustering-Astronomical-Sources.ipynb |
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def import_or_install(packag... | src/program.ipynb |
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import sys
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import warning... | 2sls/RCT_2sls.ipynb |
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# + id="XHAFPHWmfFoB" colab={"base_uri": "https://localhost:8080/"} outputId=... | 2_Estrutura_dados.ipynb |
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from utils.ZR_utils import (get_matches_df, p... | post_disc_result_prepare.ipynb |
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# ## Observations and Insights
#
# +
# #%matplotlib... | .ipynb_checkpoints/pymaceuticals_starter_Rob-checkpoint.ipynb |
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// ### Permutation T... | notebook/permutation.ipynb |
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# soft scope in RE... | 0001/soft and hard scopes.ipynb |
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# # Machine Learning Engineer Nanodegree
# ## Supervis... | student_intervention/student_intervention.ipynb |
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from bokeh.plotting import figure, sho... | content/lessen/wiskunde/functies/tekenschema/tekenschema.ipynb |
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# ## PolynomialFeatures調査
# - 動作を調べ、ラベル付けを行う
import p... | 001_poly/PolynominalFeatures.ipynb |
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# This is an introduction to the fastbt framework.
#
... | examples/Introduction.ipynb |
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# As we discovered in the [Introduction](Introduction.ipynb), HoloViews allows plotting a variety of data types. Here we will use the sample d... | examples/user_guide/Plotting.ipynb |
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# # Data Description
# ## HR Analytics: J... | DataPreprocessing.ipynb |
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# ## Imports, utils and setup
from IPytho... | main.ipynb |
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# # Module 3 Practice Assessment - Mission Planning
# ... | 4_motion_planning_for_self_driving_cars/Module3_Practice_Assessment.ipynb |
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# # Matching
#
# ## What is Regression Doing After All... | causal-inference-for-the-brave-and-true/10-Matching.ipynb |
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# # 1) Print Hello World
print('hello world')
# # 2)... | 1_pythonBasic.ipynb |
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# + [markdown] id="WQhuvSIVoh0_" colab_type="text"
# # Data Exploration
#
# J... | main/ArtificialCodeGen.ipynb |
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# # Extracting tabular data from OCR-processed PDFs wi... | notebooks/extracting_tabular_data_with_python.ipynb |
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# + id="IeTl5GZz7dAx" colab_type="code" colab={}
import numpy as np
import pa... | 6_confounded_noise/linear_separable_at_corner/confounded_noise_acc_90.ipynb |
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# ___
# 3. NLP in Practice
#
# ___
# # Part of Speech... | notebooks/6_POS-Basics.ipynb |
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# name: conda-env-anaconda-prediction_u... | fairness_benchmark/notebooks/get_best_model_mimic.ipynb |
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""" Load some libs """
""" python 2 lib using networkx... | synthesize_data.ipynb |
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# + [markdown] _uuid="8c80a83f7fb1ab87aabbdad97d11627f... | 4-Machine_Learning/3-Deep Learning/2-Redes Neuronales Convolucionales/CNN MNIST.ipynb |
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# + [markdown] id="EfHKyp9TAH1i"
# # Classification Metrics
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# In the last n... | 10. Perform classification with alternative metrics.ipynb |
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# ## Part 1 of the Assignment - Creating the dataframe... | Segmenting and Clustering Neighborhoods in Toronto.ipynb |
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# ### df_loc (Canada)
#
# We will use cens... | exploration_osgeo.ipynb |
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# # Michaelis–Menten ... | book/nonlineqn/demos/nlsq-MM.ipynb |
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# + [markdown] id="oA6GZzYgRBsu"
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# # References
# The 5 measure factors:
# - Throughpu... | refs/tensorrt/references.ipynb |
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# # Polynomial Regression
# **Importing Necessary Fil... | Linear Regression/polynomial.ipynb |
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# # Day 8 - Using Complex Types to Analyse Unstructure... | day-008_complex_types_analysing_unstructured_data.ipynb |
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# YouTube per-CPU TGID residency analysis
# ==========... | ipynb/residency/task_residencies_youtube-tgid.ipynb |
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# # Analisi dati delle zone arancioni degli ultimi 14 giorni disponibili
# I ... | notebook/analisi_zone_arancioni_14_giorni.ipynb |
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import pandas as pd
import csv
csv_file = r"C:\Us... | HeroesOfPymoli/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# # Recording the macro
# ![image.png](attachment:imag... | VBA/Day02.making the macro.ipynb |
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import altair as alt
assays_long ... | 4_pubchem_validation/figure.ipynb |
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# # Manage data processing
# Architecture of the code ... | chernobylapp/Manager.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Python_Fundamental.ipynb |
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# # lamda
def test(f, a, b):
print(f(a, b))
fun ... | basic/ch01.ipynb |
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# title: "Iterate An Ifelse Over A List"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "Iterate an ifelse over a list in Python."
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